Document Detail


Axial 3D gradient-echo imaging for improved multiple sclerosis lesion detection in the cervical spinal cord at 3T.
MedLine Citation:
PMID:  23208410     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
INTRODUCTION: In multiple sclerosis (MS), spinal cord imaging can help in diagnosis and follow-up evaluation. However, spinal cord magnetic resonance imaging (MRI) is technically challenging, and image quality, particularly in the axial plane, is typically poor compared to brain MRI. Because gradient-recalled echo (GRE) images might offer improved contrast resolution within the spinal cord at high magnetic field strength, both without and with a magnetization transfer prepulse, we compared them to T2-weighted fast-spin-echo (T2-FSE) images for the detection of MS lesions in the cervical cord at 3T.
METHODS: On a clinical 3T MRI scanner, we studied 62 MS cases and 19 healthy volunteers. Axial 3D GRE sequences were performed without and with off-resonance radiofrequency irradiation. To mimic clinical practice, all images were evaluated in conjunction with linked images from a sagittal short tau inversion recovery scan, which is considered the gold standard for lesion detection in MS. Two experienced observers recorded image quality, location and size of focal lesions, atrophy, swelling, and diffuse signal abnormality independently at first and then in consensus.
RESULTS: The number and volume of lesions detected with high confidence was more than three times as high on both GRE sequences compared to T2-FSE (p < 0.0001). Approximately 5 % of GRE scans were affected by artifacts that interfered with image interpretation, not significantly different from T2W-FSE.
CONCLUSIONS: Axial 3D GRE sequences are useful for MS lesion detection when compared to 2D T2-FSE sequences in the cervical spinal cord at 3T and should be considered when examining intramedullary spinal cord lesions.
Authors:
Arzu Ozturk; Nafi Aygun; Seth A Smith; Brian Caffo; Peter A Calabresi; Daniel S Reich
Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, N.I.H., Extramural; Research Support, N.I.H., Intramural; Research Support, Non-U.S. Gov't     Date:  2012-12-04
Journal Detail:
Title:  Neuroradiology     Volume:  55     ISSN:  1432-1920     ISO Abbreviation:  Neuroradiology     Publication Date:  2013 Mar 
Date Detail:
Created Date:  2013-04-17     Completed Date:  2013-11-04     Revised Date:  2014-03-07    
Medline Journal Info:
Nlm Unique ID:  1302751     Medline TA:  Neuroradiology     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  431-9     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Algorithms
Cervical Vertebrae / pathology*
Echo-Planar Imaging / methods*
Female
Humans
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods*
Male
Middle Aged
Multiple Sclerosis / pathology*
Reproducibility of Results
Sensitivity and Specificity
Spinal Cord / pathology*
Grant Support
ID/Acronym/Agency:
K99 NS064098/NS/NINDS NIH HHS; K99NS064098/NS/NINDS NIH HHS; P41 RR015241/RR/NCRR NIH HHS; P41RR015241/RR/NCRR NIH HHS; ZIA NS003119-03/NS/NINDS NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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